Comparing strategies to assess multiple behavior change in behavioral intervention studies

Area of Science:

• Public Health
• Behavioral Science
• Health Interventions

Background:

• Existing behavior change interventions often focus on individual actions.
• Limited research compares different methods for quantifying multiple behavior changes simultaneously.
• This study addresses the need to evaluate alternative approaches to behavior change assessment.

Purpose of the Study:

• To compare four distinct methods for quantifying changes in multiple risk behaviors.
• The study focused on four common health behaviors.
• The goal was to assess the efficacy and comparability of these quantification methods.

Main Methods:

• Utilized data from two cluster-randomized trials in small businesses and health centers.
• Employed four methods: summative, z-score, optimal linear combination, and impact score.
• Analyzed the contribution of different behaviors to the overall change measures.

Main Results:

• In small businesses, z-score and optimal linear combination methods showed similar outcomes, though physical activity's contribution varied.
• In health centers, all methods yielded comparable results.
• Multivitamin intake emerged as a significant contributor across most methods and settings.

Conclusions:

• The selection of a method to assess multiple behavior change depends on the specific intervention design and target population.
• Different methods may highlight the impact of various behaviors differently.
• Consideration of study context is vital for accurate multiple behavior change assessment.